DeepSeek R1 Distill Qwen 14B Multilingual by lightblue

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DeepSeek R1 Distill Qwen 14B Multilingual Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

DeepSeek R1 Distill Qwen 14B Multilingual Parameters and Internals

LLM NameDeepSeek R1 Distill Qwen 14B Multilingual
Repository 🤗https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-14B-Multilingual 
Model Size14b
Required VRAM29.7 GB
Updated2025-09-07
Maintainerlightblue
Model Typeqwen2
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6   0.0 GB
Supported Languagesam ar bn zh cs nl en fr de el ha he hi id it ja jv km ko lo ms mr fa pl pt ro ru es sw sv tl ta te th tr uk ur vi
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.1
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lightblue/DeepSeek-R1-Distill-Qwen-14B-Multilingual.

Rank the DeepSeek R1 Distill Qwen 14B Multilingual Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124